You’ve heard of Prescriptive Maintenance (RxM), but how can you leverage it to drive real value in your organization? In this on-demand webinar, AspenTech’s Ryan Conger demonstrates how data-driven insights from AI and machine learning mitigate maintenance issues and improve productivity. Through a series of case studies, Ryan shows how Prescriptive Maintenance is being used to:

エネルギー産業や化学企業が経済の脱炭素化やネットゼロカーボン目標に向けて取り組んでいる中、炭素回収技術の状況は進化しています。

先進的な化学企業は、デジタルツインのような高度なデジタル技術を活用することで、持続可能なビジネスオペレーションを実現し、新たなレベルのオペレーショナルエクセレンスを達成しています。

Today, enterprises are challenged with ensuring quick business transitions to keep up with changing demands in a volatile and uncertain markets.

In today’s environment, Energy and Chemicals industrial organizations need to operate with an agile supply chain, and close the gap between planning and operations will enable them to stay ahead. Industry-leading Advanced Process Control (APC) technology will lay a strong foundation for digitalization and enable enterprises to achieve new levels of agility and production excellence.

Early returns from an ARC Advisory Group survey indicate 45% of respondents require 6 months or more to scale APM solutions across similar sites, while 54% can scale APM across different assets at the same site—but only with tremendous effort and resources. Today’s asset performance management (APM) solutions drive big increases in reliability and profitability, but how well can you scale those benefits across multiple assets, or even multiple sites? Join us to learn how some of today’s industry leaders are using AI and machine learning—combined with their existing data and resources—to overcome skillset or usability hurdles and rapidly scale APM solutions across their organizations.

今日の化学企業は、ビジネスと持続可能性の目標達成を目指してインダストリアルAIと機械学習を活用することで、デジタライゼーションジャーニーを加速し続けています。当日は、弊社アスペンエキスパートが第一原理ハイブリッドモデリングを中心に、Aspen Plus® V12.1の主な改善点をご紹介しました。

Aspen Polymersを活用し逐次重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、運転条件の最適化検討が可能となります。

As the energy industry continues to be challenged by a volatile global market, there are steps companies can take now to adapt to evolving demands, maximize margins and improve sustainability. Join industry leaders Saras and MOL Group as they detail recent projects where innovations in digital twin technology, predictive analytics and prescriptive maintenance delivered measurable, strategic value for both the short and long term.

Refiners and chemical manufacturers continue to struggle with margin leakage due to gaps between planning and operations. Innovations in modelling and optimization technology now enable you to coordinate and optimize multiple process units in real time to ensure the best site-wide economic benefits—and do it on a consistent, minute-by-minute basis.